Selective Reduction Laser Sintering

A New Strategy for NO2 Gas Detection Based on In2O3 Nanoparticles

Journal Article (2025)
Authors

S. Wang (TU Delft - Bio-Electronics, Southern University of Science and Technology )

C. Tan (TU Delft - Electronic Components, Technology and Materials)

Qihang Zong (Southern University of Science and Technology )

Shizhen Li (Southern University of Science and Technology )

Chenshan Gao (Southern University of Science and Technology )

Huiru Yang (Southern University of Science and Technology )

Qian Ming Huang (Southern University of Science and Technology )

Patrick J. French (TU Delft - Bio-Electronics)

H.Y. Ye (TU Delft - Electronic Components, Technology and Materials, Southern University of Science and Technology )

Research Group
Bio-Electronics
To reference this document use:
https://doi.org/10.1002/adfm.202419057
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Bio-Electronics
DOI:
https://doi.org/10.1002/adfm.202419057
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This study introduces a novel strategy for fabricating flexible nitrogen dioxide (NO2) gas sensors based on Indium Oxide (In2O3) nanoparticles (NPs) employing selective reduction laser sintering (SRLS) technology. The SRSL technology utilizes ultraviolet (UV) laser selective reduction sintering to precisely and rapidly create oxygen vacancy (OV) defects in In2O3 NPs. These oxygen vacancies (OVs) enhance the active adsorption sites and contribute additional free electrons, significantly improving sensor performance at room temperature. The sensors demonstrate excellent response (S = 460.9 at 10 ppm), rapid response/recovery times (τrespreco = 27/570 s), and superior selectivity (response ratio > 400), in addition to robust resistance to light and humidity (under ppm-level NO2 gas). The sensors also exhibit a low detection limit (200 ppb), a high signal-to-noise ratio (94.8 dB), and good long-term stability (25 days). Moreover, under photo-assisted conditions, the recovery speed of the sensors is further improved. This technology not only provides an innovative strategy for the development of high-performance flexible NO2 gas sensors but also broadens the application potential of laser direct writing (LDW) technology in advanced materials and sensor fabrications.